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Using assistant in AutomaticSpeechRecognitionPipeline with different encoder size #30637

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merged 25 commits into from
May 23, 2024

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kamilakesbi
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@kamilakesbi kamilakesbi commented May 3, 2024

This PR aims at fixing issue #30611:

  • First: an error will be thrown if the assistant and main models encoders don't have the same size, and the assistant is loaded using AutoModelForCausalLM.

  • Second: This PR makes the pipeline work when using an assistant with a different encoder size (loaded with AutoModelForSpeechSeq2Seq) than the main model:

When using AutomaticSpeechRecognitionPipeline, If we use an assistant with a different encoder size than the main model , the pipeline is broken and we get the following error message:

ValueError: Whisper expects the mel input features to be of length 3000, but found 1500. Make sure to pad the input mel features to 3000.

Explanation of the solution

When doing short form generation with the pipeline, input_features aren't passed to the generate method, which instead takes the output of the main model's encoder.

If the main model and the assistant don't share the same encoder, the encoder_output passed to generate cannot be used by the assistant for generation, and we get an error.

The solution here is to also pass the input_features to the generate method to be used by the assistant.

Who can review?

@sanchit-gandhi

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Thanks for taking this up @kamilakesbi - left some comments below!

src/transformers/models/whisper/generation_whisper.py Outdated Show resolved Hide resolved
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Small comment regarding the generality of the check (note that in generation/utils.py, we are assuming that all checks + functionality can be applied to all models in the library that are generate-compatible, not just speech recognition ones)

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Is there a test that confirms correctness after the fix? There's likely a relevant slow pipeline test that was either failing, or was not rigorous enough

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gante commented May 9, 2024

Please have a look at #30726 for an alternative fix -- IMO, the root source of problems is the ASR pipeline doing a redundant operation, and not in generate :)

I hope you don't mind me crashing into the issue 🙌 (I only noticed this PR after opening #30726, when trying to link all related issues)

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Pipeline changes LGTM, just some minor suggestions regarding the slow tests. Would love a second opinion from generate expert @gante on the assistant model validation!

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I think this PR is ready to be merged!

cc @amyeroberts @gante if you want to have a look ;)

@kamilakesbi kamilakesbi changed the title [WIP] - Using assistant in AutomaticSpeechRecognitionPipeline with different encoder size Using assistant in AutomaticSpeechRecognitionPipeline with different encoder size May 15, 2024
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Thanks for working on this!

I've just done a quick pass over and have some outstanding Qs. I'll review again once @gante has confirmed the update to the generation validation is OK

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@kamilakesbi kamilakesbi requested a review from gante May 16, 2024 15:20
@kamilakesbi kamilakesbi added Audio Good Second Issue Issues that are more difficult to do than "Good First" issues - give it a try if you want! labels May 17, 2024
@kamilakesbi kamilakesbi self-assigned this May 17, 2024
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LGTM, thank you for fixing! 💪 I've added a few minor nits to help with readability.

(I see that you've included the diff from #30726, I'm going to close that PR :D)

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Thanks @gante for the review :)
@amyeroberts could you please merge this PR ?

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@kamilakesbi It still needs a final core maintainer review and approval before merge (+ resolution of conflicts) :). I'll review now

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Thanks for adding and iterating on this!

Only thing left to add are tests for _validate_assistant - there should be tests making sure that it correctly raises exceptions for the two cases it's checking for

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hi @amyeroberts, I've added a slow test which pass :) I think quality checks fails are unrelated to this PR, and will be fixed by #30932.

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Thanks for adding the tests - looks great!

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Quick checklist before merge:

  • Resolve all comment threads that have been addressed
  • Fix the merge conflict in automatic_speech_recognition.py
  • Rebase onto main to get the style fixes from update ruff version #30932 (once the PR is merged)
  • Ping me to get this merged!

kamilakesbi and others added 20 commits May 23, 2024 10:17
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
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Nice work @kamilakesbi!

@sanchit-gandhi sanchit-gandhi merged commit eb1a77b into huggingface:main May 23, 2024
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itazap pushed a commit that referenced this pull request May 24, 2024
…encoder size (#30637)

* fiw input to generate in pipeline

* fixup

* pass input_features to generate with assistant

* error if model and assistant with different enc size

* fix

* apply review suggestions

* use self.config.is_encoder_decoder

* pass inputs to generate directly

* add slow tests

* Update src/transformers/generation/utils.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* apply review

* Update src/transformers/generation/utils.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* apply code review

* update attributes encoder_xyz to check

* Update src/transformers/generation/utils.py

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/generation/utils.py

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/generation/utils.py

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* add slow test

* solve conflicts

---------

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
zucchini-nlp pushed a commit to zucchini-nlp/transformers that referenced this pull request Jun 11, 2024
…encoder size (huggingface#30637)

* fiw input to generate in pipeline

* fixup

* pass input_features to generate with assistant

* error if model and assistant with different enc size

* fix

* apply review suggestions

* use self.config.is_encoder_decoder

* pass inputs to generate directly

* add slow tests

* Update src/transformers/generation/utils.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* apply review

* Update src/transformers/generation/utils.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* apply code review

* update attributes encoder_xyz to check

* Update src/transformers/generation/utils.py

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/generation/utils.py

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/generation/utils.py

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* add slow test

* solve conflicts

---------

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
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